In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Humans often use one hand to grasp the branch for better accessibility, while the other hand is used to perform primary tasks like (a) branch pruning and (b) hand pollination of the flower. (c) An ...

Automation World has followed Realtime Robotics’ work with Mitsubishi Electric over the past few years. The most recent news from the company, a supplier of collision-free autonomous motion planning ...

Researchers at the University of Kent, UK, introduced LiteRBS (Lightweight and Rapid Bidirectional Search), a novel grid-based pathfinding algorithm designed for efficient and scalable navigation in ...